code: def meta_data(self, args):
      wrap_fn = (
          lambda x: MetaTensor(x) if isinstance(x, torch.Tensor) else x
      )
      self._meta_data = tree_map(wrap_fn, args)
  
imports: import operator
  from typing import Any, Callable, Dict, Optional, Union
  import torch
  from torch.fx import Node, Proxy
  from torch.utils._pytree import tree_map
  from colossalai._analyzer._subclasses import MetaTensor
label_desc: Use image node_id 3 for calling the ColoProxy obj's underlying member method code with example usage: obj.meta_data(args) without return types